Filtering out the Opposition: How Cross-Cutting Discussions Increase Unfriending Through Political Corrections and Insults in Spain and Germany

IF 4.3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Manuel Goyanes, Beatriz Jordá
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引用次数: 0

Abstract

Social media platforms offer ample opportunities for dialogue between both sides of the political spectrum. However, prior research suggests that users sometimes unfriend dissenting voices. While some studies argue that unfriending may lead to homogeneous information environments and potentially to heightened polarization, others indicate that users unfriend to preserve a manageable level of diversity. This study contributes to this literature by examining how cross-cutting discussion is directly and indirectly associated to unfriending through two types of behaviors: being politically corrected, a positive interaction linked to democratic, civic dynamics; and being insulted, a hostile behavior and prominent aspect of online incivility. The findings, based on two cross-sectional surveys conducted in Spain and Germany, showed that cross-cutting discussion is associated to unfriending directly and indirectly through being politically corrected and being insulted for political reasons. We also found no statistically significant differences in the two indirect effects in both countries. Taken together, our findings emphasize that users actively shield themselves from opposing views regardless of whether interactions are deemed as constructive (corrections) or hostile (insults).
过滤反对派:跨领域讨论如何在西班牙和德国通过政治纠正和侮辱增加解除朋友关系
社交媒体平台为双方政治派别之间的对话提供了充足的机会。然而,先前的研究表明,用户有时会取消对不同声音的关注。虽然一些研究认为,解除好友关系可能会导致同质化的信息环境,并可能加剧两极分化,但也有研究表明,用户解除好友关系是为了保持可管理的多样性水平。本研究通过研究跨领域讨论如何通过两种类型的行为直接或间接地与解除朋友关系相关,从而为这一文献做出了贡献:政治纠正,与民主、公民动态相关的积极互动;被侮辱是一种敌对行为,也是网络不文明的一个突出方面。研究结果是基于在西班牙和德国进行的两项横断面调查得出的,结果表明,横断面讨论与通过政治纠正和因政治原因受到侮辱直接或间接地解除好友关系有关。我们还发现两国的间接效应没有统计学上的显著差异。综上所述,我们的研究结果强调,无论互动是建设性的(纠正)还是敌意的(侮辱),用户都会积极地保护自己不受反对意见的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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